Engineering project management technology based on visual simulation module and particle swarm optimization by Hua Tian

“…Compared with the efficiency value of the algorithm in the first 10s, the traditional single objective optimization algorithm was 0.28, while the proposed algorithm was 0.40. …”
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Thermal Optimization Design for a Small Flat-Panel Synthetic Aperture Radar Satellite by Tian Bai, Yuanbo Zhang, Lin Kong, Hongrui Ao, Jisong Yu, Lei Zhang

“…To achieve the objectives of lower cost, reduced weight, minimized power consumption, and enhanced temperature stability, an optimized thermal design method tailored for satellites has been developed, with a particular focus on SAR antennas. …”
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Precise deloading optimization strategy for wind farm based on the accurate estimation of maximum power by Chang Xu, Minghui Yin, Zaiyu Chen, Qun Li, Qiang Li, Yun Zou

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A similarity-based multi-objective test optimization technique using search algorithm by Amir Sohail Habib, Saif Ur Rehman Khan, Shahid Hussain, Naseem Ibrahim, Habib un Nisa, Abdullah Yousafzai

“…This ensures a comprehensive assessment of test diversity to achieve high code coverage and fault-detection rate while minimizing the test execution cost. Method:: We evaluated the performance of GWO with state-of-the-art search-based algorithms using three varying types of case studies. …”
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Optimizing Pollution Control in the Hospitality Sector: A Theoretical Framework for Sustainable Hotel Operations by Angeliki N. Menegaki

“…While achieving zero emissions is often impractical, an optimal pollution level allows hotels to balance environmental responsibility with economic feasibility, contributing to sustainable tourism and aligning with the values of eco-conscious consumers.…”
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Exploring Optimal Strategies for Small Hydro Power Forecasting: Training Periods and Methodological Variations by Duarte Lopes, Isabel Preto, David Freire

“…Results highlight the “K-Means Alike” approach, which, with a 2-month training period, outperforms conventional methods, offering enhanced accuracy while minimizing computational resources. …”
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Study on Energy Conversion Efficiency and Structure Optimization of the Multorifices Nozzle for Radial Jet Drilling by Famu Huang, Ziheng Zhu, Jian Wang, Ping Zhang, Zhongxin Ren, Jun Lu, Haibo Su, Hong Zhang, Jingbin Li

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Optimization of a novel dental self-healing resin composite by bacteria-induced biomineralization by Yanyan Han, Yanyan Han, Xiaoxuan Zhang, Jianing Weng, Shiqi Tian, Xian Dong, Zhiheng Cai, Zhiheng Cai, Yi Zhang, Tiantian Wu, Tiantian Wu, Dan Lin, Yaqin Zhu, Yaqin Zhu

“…When a crack seals, bacteria become dormant or form spores until the next crack forms, triggering repeated self-healing.MethodsThis study involved the optimization of nutrients to enhance biocompatibility, the preparation of dental resin composites incorporating eight different bacterial strains, the investigation of Mn2+ to enhance self-healing properties, and the utilization of a method to evaluate self-healing efficiency tailored for the oral environment. …”
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Applying RSM for optimization of Ferula assafoetida protein hydrolysis to enhance bioactivity and functional properties by Ali Akbar Gholami, Mohammad Sadegh Taghizadeh, Alireza Afsharifar, Ali Moghadam, Zohreh-Sadat Mortazavi, Ali Niazi

“…Plant-based protein hydrolysates are gaining attention due to their potential health benefits, particularly their antioxidant properties. While various methods have been explored for optimizing protein hydrolysis, achieving a high yield of bioactive peptides with enhanced antioxidant activity remains challenging. …”
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Enhancing drone-based fire detection with flame-specific attention and optimized feature fusion by Qiang Wang, Shiyu Guan, Shuchang Lyu, Guangliang Cheng

“…To address these issues, we propose a Flame-Specific Attention (FSA) mechanism, which integrates heat conduction principles and flame shape features to enhance receptive field expansion while maintaining computational efficiency. Furthermore, the Neck of the model is optimized with a Focal Modulation module to improve feature fusion, and a variable multi-attention detection head is introduced to refine detection precision. …”
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Optimizing functional, stability, and sensory attributes of quinoa beverages through bioprocessing, ultrasonication, and hydrocolloids by Sobhy A. El-Sohaimy, Taha Mehany, Mohamed G. Shehata, Ashraf A. Zeitoun, Hanan M. Alharbi, Khairiah Mubarak Alwutayd, Mohamed A.M. Zeitoun

“…This study evaluated how various processing methods affect the nutritional, functional, and sensory qualities of a saponin-free quinoa-beverage. …”
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An Optimized Scheme of Full-data Storage for Intelligent Operation and Maintenance of Urban Rail Trains by WU Yaxiong, DENG Jian

“…However, traditional full-data storage methods have become inadequate in handling the escalating demands for data processing and storage. …”
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Optimal Design for Torque Ripple Reduction in a Traction Motor for Electric Propulsion Vessels by Gi-haeng Lee, Yong-min You

“…Based on real operating conditions, an Interior Permanent Magnet Synchronous Motor (IPMSM) was designed and optimized. The Savitsky method was used to calculate total resistance at a typical cruising speed, from which the required torque and output were determined. …”
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Chaos-Enhanced Fractional-Order Iterative Methods for the Stable and Efficient Solution of Nonlinear Engineering Problems by Mudassir Shams, Bruno Carpentieri

“…This study introduces an efficient and stable fractional-order iterative method based on the Caputo derivative for solving nonlinear equations. …”
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Induced zero-phase synchronization as a potential neural code for optimized visuomotor integration by Kirstin-Friederike Heise, Geneviève Albouy, Nina Dolfen, Ronald Peeters, Dante Mantini, Stephan P. Swinnen

“…Our goal was to probe the effect of phase entrainment of the sensorimotor mu-rhythm on visuomotor integration. Methods: Participants received transcranial alternating current stimulation over bilateral motor cortices (M1) while performing a visually-guided force adjustment task during functional magnetic resonance imaging. …”
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Design and optimization of honeycomb structure in dual-link mechanism for revolving two-wing doors by Guoqing Zhou, Li Yuan, Ruize Zhou, Youdong Xing

“…Through theoretical analysis and structural topology optimization with the goal of mass minimization, the existing constraints in traditional optimization methods that undermine structural integrity have been revealed. …”
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Enhancing the quality of pear candies via jaggery‐based osmotic dehydration: Optimization and analysis by Gurpreet Dhillion, Amardeep Kour, Navjot Gupta, Padma Nath Atreya

“…The Box–Behnken design was used to optimize the key factors: immersion time (hour), temperature (°C), and jaggery concentration (°Brix) which were employed with the aim to maximize water loss (WL) and overall acceptability (OA) while minimizing solute gain (SG) and achieving the ideal hardness in the resulting pear candy with an OA score. …”
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Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques by Esraa Hassan, Amira Samy Talaat, M. A. Elsabagh

“…To address these challenges, this paper introduces an Intelligent Text Similarity Assessment Model that integrates Robustly Optimized Bidirectional Encoder Representations from Transformers (RoBERTa) with Chaotic Sand Cat Swarm Optimization (CHSCSO), a novel swarm intelligence-based optimization method inspired by chaotic dynamics. …”
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An optimal loss-reduction control strategy for MMC considering capacitor voltage ripple suppression by FANG Dongping, QIU Yang, CUI Jindong, FEI Lisong, TANG Fangjie, ZHAO Jiancheng

“…For medium- and low-voltage MMCs employing carrier phase shift pulse width modulation （CPS-PWM）， a loss-reduction control strategy is proposed that explicitly considers capacitor voltage ripple suppression. Based on the optimization objectives and constraints of capacitor voltage ripple and valve loss， the bridge arm current is optimally controlled to eliminate the valve loss increment induced by ripple suppression while maintaining ripple suppression performance. …”
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Adaptive Handover Optimization in LEO Satellite Networks Using Energy-Aware Q-Learning by Unalido Ntabeni, Bokamoso Basutli, Hirley Alves, Joseph Chuma

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